Richard Y. Chen

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 6 papers; trusts 61 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Y. Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Joel A. Tropp
  2. Richard S. Sutton
  3. Diederik P. Kingma
  4. Ronald J. Williams
  5. Geoffrey E. Hinton
  6. Ian Osband
  7. David Freedman
  8. Jimmy Ba
  9. J. Urgen Schmidhuber
  10. Mark Rudelson

Who trusts Richard Y. Chen overall

  1. Tim Salimans
  2. Raghuram Mandyam Annasamy
  3. Shangtong Zhang
  4. Borislav Mavrin
  5. Seyed Kamyar Seyed Ghasemipour
  6. Gaon An
  7. Joel A. Tropp
  8. Alex Peysakhovich
  9. John C. Duchi
  10. Richard J. Chen

Papers from Richard Y. Chen's perspective

Ordered by how strongly the researchers Richard Y. Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers